<html><head><title>Advanced AI & ML Technologies Executive - California</title></head>
<body><h2>Advanced AI & ML Technologies Executive - California</h2>
<div>Advanced AI &amp; ML Technologies Executive-190030766</div><div>
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At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.<div>
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We are excited to present an incredible opportunity for a senior technology, engineering &amp; science/research leader to join U.S. Bank. This new leader will be responsible for advanced development of end-to-end AI/ML technologies, AI/ML techniques, and engineering to solve real use cases at U.S. Bank, and to keep U.S. Bank at forefront of advances in AI/ML engineering, technologies &amp; techniques.<br/>
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Given the rapid pace of new technologies, hardware, software frameworks, neural networks &amp; algorithm implementations, pre-trained AI assets, &amp; AI techniques, U.S. Bank has an exciting opportunity for a new leader to lead a critical function and build a team that will focus on end to end AI/ML engineering. This role will lead a small team of specialized engineers and researchers that will allow U.S. Bank to leverage new key techniques and technologies. In addition, this role will create and lead a center of excellence for AI/ML engineering, both enabling our move to an engineering culture and enable breakthroughs in data, AI/ML technologies &amp; AI/ML applications.
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This leader will create a team to spearhead AI/ML engineering projects that leverage and push the envelope of the U.S. Bank Data &amp; AI/ML Platform in order to leverage new techniques and technologies, and advance the sophistication &amp; versatility of that platform. The team will develop and grow U.S. Bank’s expertise in advanced AI/ML technologies &amp; techniques to act as a central point of excellence &amp; best practices for applications of advanced technologies in AI/ML &amp; data. This includes benchmarking, testing &amp; other research engineering around new &amp; emerging AI/ML technologies &amp; techniques.<br/>
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<b>Preferred Experience:</b>
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<ul><li>Technologies: PyTorch, Jupyter, TensorFlow, MLFlow, Kubeflow, Spark, Rapids.ai, Fast.ai, Scikit Learn, R, and or similar AI/ML Frameworks and statistical packages</li><li>Strong knowledge of applied modern AI techniques such as: gradient boosted decision trees, regression, classification, neural networks, NLP/NLU, reinforcement learning, anomaly detection (not all required, but depth in several desired)</li><li>Model tuning, pruning, minimization, and performance optimization of models for limited hardware environments such as mobile &amp; edge compute, while maximizing model performance</li><li>Experience managing &amp; driving machine learning &amp; AI/ML projects from start to production at a deeply technical level</li><li>Data technology knowledge – Spark, Python, Hadoop, Flink and other data processing and database technologies</li><li>Strong distributed systems knowledge, data structures and algorithm design &amp; performance</li><li>Strong underlying knowledge of AI/ML algorithms and techniques including supervised learning, unsupervised learning, and advanced statistical techniques</li><li>Hands on coding &amp; scripting knowledge in multiple languages (Such as Java, Python, Go, Shell, C, C++, Scala, Clojure &amp; others – not all required but hands on strength in 2-3 few desired)</li><li>Cloud Platform Knowledge also preferred (with focus on GCP and AWS)</li></ul><br/>
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</div><div></div><div>Qualifications<div></div><br/>
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</div><ul><li><div>10-15 years technology &amp; engineering experience
</div></li><li><div>Minimum of 5 years’ experience directly in a data science and or AI/ML heavy environment &amp; roles</div></li><li><div>
MS in computer science, information theory &amp; retrieval, data science or related field required</div></li><li><div>
Extremely strong statistical and mathematical grounding in modern AI/ML and data science techniques</div></li><li><div>
PhD Strongly preferred</div></li><li><div>
Strong technical leadership abilities and strategic management skills</div></li></ul><div><br/>
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</div></div><div></div><div>Job Executive</div><div>
Primary Location California</div><div>
Shift 1st - Daytime</div><div>
Average Hours Per Week 40</div></body>
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